# Spatial Point Pattern analysis, model-fitting, simulation, tests

## Documentation for package ‘spatstat’ version 1.37-0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

A B C D E F G H I J K L M N O P Q R S T U V W Z misc

spatstat-package | The Spatstat Package

## -- A --

adaptive.density | Intensity Estimate of Point Pattern Using Tessellation
add.texture | Fill Plot With Texture
addvar | Added Variable Plot for Point Process Model
affine | Apply Affine Transformation
affine.im | Apply Affine Transformation To Pixel Image
affine.layered | Methods for Layered Objects
affine.linnet | Apply Geometrical Transformations to a Linear Network
affine.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network
affine.owin | Apply Affine Transformation To Window
affine.ppp | Apply Affine Transformation To Point Pattern
affine.psp | Apply Affine Transformation To Line Segment Pattern
affine.tess | Apply Geometrical Transformation To Tessellation
allstats | Calculate four standard summary functions of a point pattern.
alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern
amacrine | Hughes' Amacrine Cell Data
anemones | Beadlet Anemones Data
angles.psp | Orientation Angles of Line Segments
anova.lppm | ANOVA for Fitted Point Process Models on Linear Network
anova.mppm | ANOVA for Fitted Multiple Point Process Models
anova.ppm | ANOVA for Fitted Point Process Models
anova.slrm | Analysis of Deviance for Spatial Logistic Regression Models
ants | Harkness-Isham ants' nests data
ants.extra | Harkness-Isham ants' nests data
append.psp | Combine Two Line Segment Patterns
applynbd | Apply Function to Every Neighbourhood in a Point Pattern
area.owin | Area of a Window
areaGain | Difference of Disc Areas
AreaInter | The Area Interaction Point Process Model
areaLoss | Difference of Disc Areas
as.array.im | Convert Pixel Image to Matrix or Array
as.box3 | Convert Data to Three-Dimensional Box
as.data.frame.hyperframe | Coerce Hyperframe to Data Frame
as.data.frame.im | Convert Pixel Image to Data Frame
as.data.frame.ppp | Coerce Point Pattern to a Data Frame
as.data.frame.ppx | Extract coordinates and marks of multidimensional point pattern
as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame
as.function.fv | Convert Function Value Table to Function
as.function.linfun | Methods for Functions on Linear Network
as.function.rhohat | Convert Function Value Table to Function
as.fv | Convert Data To Class fv
as.fv.bw.optim | Convert Data To Class fv
as.fv.data.frame | Convert Data To Class fv
as.fv.fasp | Convert Data To Class fv
as.fv.fv | Convert Data To Class fv
as.fv.kppm | Convert Data To Class fv
as.fv.matrix | Convert Data To Class fv
as.fv.minconfit | Convert Data To Class fv
as.hyperframe | Convert Data to Hyperframe
as.hyperframe.data.frame | Convert Data to Hyperframe
as.hyperframe.default | Convert Data to Hyperframe
as.hyperframe.hyperframe | Convert Data to Hyperframe
as.hyperframe.listof | Convert Data to Hyperframe
as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern
as.im | Convert to Pixel Image
as.im.default | Convert to Pixel Image
as.im.distfun | Convert to Pixel Image
as.im.function | Convert to Pixel Image
as.im.im | Convert to Pixel Image
as.im.leverage.ppm | Convert to Pixel Image
as.im.matrix | Convert to Pixel Image
as.im.nnfun | Convert to Pixel Image
as.im.owin | Convert to Pixel Image
as.im.ppp | Convert Point Pattern to Pixel Image
as.im.scan.test | Plot Result of Scan Test
as.im.Smoothfun | Convert to Pixel Image
as.im.tess | Convert to Pixel Image
as.interact | Extract Interaction Structure
as.interact.fii | Extract Interaction Structure
as.interact.interact | Extract Interaction Structure
as.interact.ppm | Extract Interaction Structure
as.linim | Convert to Pixel Image on Linear Network
as.linim.default | Convert to Pixel Image on Linear Network
as.linim.linfun | Methods for Functions on Linear Network
as.linim.linim | Convert to Pixel Image on Linear Network
as.linnet | Methods for Linear Networks
as.linnet.linfun | Methods for Functions on Linear Network
as.linnet.linnet | Methods for Linear Networks
as.linnet.lpp | Methods for Linear Networks
as.linnet.lppm | Methods for Fitted Point Process Models on a Linear Network
as.lpp | Convert Data to a Point Pattern on a Linear Network
as.mask | Pixel Image Approximation of a Window
as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask
as.matrix.im | Convert Pixel Image to Matrix or Array
as.matrix.owin | Convert Pixel Image to Matrix
as.matrix.ppx | Extract coordinates and marks of multidimensional point pattern
as.owin | Convert Data To Class owin
as.owin.boxx | Convert Data To Class owin
as.owin.data.frame | Convert Data To Class owin
as.owin.default | Convert Data To Class owin
as.owin.distfun | Convert Data To Class owin
as.owin.funxy | Convert Data To Class owin
as.owin.im | Convert Data To Class owin
as.owin.influence.ppm | Convert Data To Class owin
as.owin.kppm | Convert Data To Class owin
as.owin.layered | Convert Data To Class owin
as.owin.leverage.ppm | Convert Data To Class owin
as.owin.linfun | Methods for Functions on Linear Network
as.owin.linnet | Methods for Linear Networks
as.owin.lpp | Convert Data To Class owin
as.owin.lppm | Convert Data To Class owin
as.owin.msr | Convert Data To Class owin
as.owin.nnfun | Convert Data To Class owin
as.owin.owin | Convert Data To Class owin
as.owin.ppm | Convert Data To Class owin
as.owin.ppp | Convert Data To Class owin
as.owin.psp | Convert Data To Class owin
as.owin.quad | Convert Data To Class owin
as.owin.quadratcount | Convert Data To Class owin
as.owin.quadrattest | Convert Data To Class owin
as.owin.rmhmodel | Convert Data To Class owin
as.owin.tess | Convert Data To Class owin
as.polygonal | Convert a Window to a Polygonal Window
as.ppm | Extract Fitted Point Process Model
as.ppm.kppm | Extract Fitted Point Process Model
as.ppm.ppm | Extract Fitted Point Process Model
as.ppm.profilepl | Extract Fitted Point Process Model
as.ppp | Convert Data To Class ppp
as.ppp.data.frame | Convert Data To Class ppp
as.ppp.default | Convert Data To Class ppp
as.ppp.influence.ppm | Convert Data To Class ppp
as.ppp.lpp | Methods for Point Patterns on a Linear Network
as.ppp.matrix | Convert Data To Class ppp
as.ppp.ppp | Convert Data To Class ppp
as.ppp.psp | Convert Data To Class ppp
as.ppp.quad | Convert Data To Class ppp
as.psp | Convert Data To Class psp
as.psp.data.frame | Convert Data To Class psp
as.psp.default | Convert Data To Class psp
as.psp.linnet | Methods for Linear Networks
as.psp.lpp | Methods for Point Patterns on a Linear Network
as.psp.matrix | Convert Data To Class psp
as.psp.psp | Convert Data To Class psp
as.rectangle | Window Frame
as.tess | Convert Data To Tessellation
as.tess.im | Convert Data To Tessellation
as.tess.list | Convert Data To Tessellation
as.tess.owin | Convert Data To Tessellation
as.tess.quadratcount | Convert Data To Tessellation
as.tess.quadrattest | Convert Data To Tessellation
as.tess.tess | Convert Data To Tessellation

## -- B --

BadGey | Hybrid Geyer Point Process Model
bdist.pixels | Distance to Boundary of Window
bdist.points | Distance to Boundary of Window
bdist.tiles | Distance to Boundary of Window
beachcolourmap | Create Colour Scheme for a Range of Numbers
beachcolours | Create Colour Scheme for a Range of Numbers
beginner | Print Introduction For Beginners
bei | Tropical rain forest trees
bei.extra | Tropical rain forest trees
bermantest | Berman's Tests for Point Process Model
bermantest.lpp | Berman's Tests for Point Process Model
bermantest.lppm | Berman's Tests for Point Process Model
bermantest.ppm | Berman's Tests for Point Process Model
bermantest.ppp | Berman's Tests for Point Process Model
betacells | Beta Ganglion Cells in Cat Retina
bilinearform | Compute Quadratic Forms
bind.fv | Combine Function Value Tables
blur | Apply Gaussian Blur to a Pixel Image
border | Border Region of a Window
bounding.box.xy | Convex Hull of Points
boundingbox | Bounding Box of a Window, Image, or Point Pattern
boundingbox.default | Bounding Box of a Window, Image, or Point Pattern
boundingbox.im | Bounding Box of a Window, Image, or Point Pattern
boundingbox.owin | Bounding Box of a Window, Image, or Point Pattern
boundingbox.ppp | Bounding Box of a Window, Image, or Point Pattern
box3 | Three-Dimensional Box
boxx | Multi-Dimensional Box
bramblecanes | Hutchings' Bramble Canes data
bronzefilter | Bronze gradient filter data
bw.diggle | Cross Validated Bandwidth Selection for Kernel Density
bw.frac | Bandwidth Selection Based on Window Geometry
bw.ppl | Likelihood Cross Validation Bandwidth Selection for Kernel Density
bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk Estimation
bw.scott | Scott's Rule for Bandwidth Selection for Kernel Density
bw.smoothppp | Cross Validated Bandwidth Selection for Spatial Smoothing
bw.stoyan | Stoyan's Rule of Thumb for Bandwidth Selection
by.im | Apply Function to Image Broken Down by Factor
by.ppp | Apply a Function to a Point Pattern Broken Down by Factor

## -- C --

cauchy.estK | Fit the Neyman-Scott cluster process with Cauchy kernel
cauchy.estpcf | Fit the Neyman-Scott cluster process with Cauchy kernel
cbind.fv | Combine Function Value Tables
cbind.hyperframe | Combine Hyperframes by Rows or by Columns
cells | Biological Cells Point Pattern
centroid.owin | Centroid of a window
chicago | Chicago Street Crime Data
chop.tess | Subdivide a Window or Tessellation using a Set of Lines
chorley | Chorley-Ribble Cancer Data
chorley.extra | Chorley-Ribble Cancer Data
circumradius | Circumradius and Diameter of a Linear Network
clarkevans | Clark and Evans Aggregation Index
clarkevans.test | Clark and Evans Test
clear.simplepanel | Run Point-and-Click Interface
clickbox | Interactively Define a Rectangle
clickjoin | Interactively join vertices on a plot
clickpoly | Interactively Define a Polygon
clickppp | Interactively Add Points
clip.infline | Intersect Infinite Straight Lines with a Window
clmfires | Castilla-La Mancha Forest Fires
clmfires.extra | Castilla-La Mancha Forest Fires
closepaircounts | Close Pairs of Points
closepairs | Close Pairs of Points
closing | Morphological Closing
closing.owin | Morphological Closing
closing.ppp | Morphological Closing
closing.psp | Morphological Closing
clusterset | Allard-Fraley Estimator of Cluster Feature
coef.fii | Methods for Fitted Interactions
coef.kppm | Methods for Cluster Point Process Models
coef.lppm | Methods for Fitted Point Process Models on a Linear Network
coef.mppm | Coefficients of Point Process Model Fitted to Multiple Point Patterns
coef.ppm | Coefficients of Fitted Point Process Model
coef.slrm | Coefficients of Fitted Spatial Logistic Regression Model
coef.summary.fii | Methods for Fitted Interactions
col2hex | Convert and Compare Colours in Different Formats
collapse.fv | Collapse Several Function Tables into One
colourmap | Colour Lookup Tables
colourtools | Convert and Compare Colours in Different Formats
commonGrid | Determine A Common Spatial Domain And Pixel Resolution
compareFit | Residual Diagnostics for Multiple Fitted Models
compatible | Test Whether Objects Are Compatible
compatible.fasp | Test Whether Function Arrays Are Compatible
compatible.fv | Test Whether Function Objects Are Compatible
compatible.im | Test Whether Pixel Images Are Compatible
compatible.units | Methods for Units
complement.owin | Take Complement of a Window
complementarycolour | Convert and Compare Colours in Different Formats
concatxy | Concatenate x,y Coordinate Vectors
Concom | The Connected Component Process Model
connected | Connected components
connected.im | Connected components
connected.owin | Connected components
connected.ppp | Connected components of a point pattern
contour.funxy | Methods for Spatial Functions
contour.im | Contour plot of pixel image
contour.listof | Plot a List of Things
contour.objsurf | Methods for Objective Function Surfaces
convexhull | Convex Hull
convexhull.xy | Convex Hull of Points
convolve.im | Convolution of Pixel Images
coords | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
coords.ppp | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
coords.ppx | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
coords<- | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
coords<-.ppp | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
coords<-.ppx | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
copper | Berman-Huntington points and lines data
corners | Corners of a rectangle
countends | Compute Disc of Given Radius in Linear Network
crossdist | Pairwise distances
crossdist.default | Pairwise distances between two different sets of points
crossdist.lpp | Pairwise distances between two point patterns on a linear network
crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns
crossdist.ppp | Pairwise distances between two different point patterns
crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
crossdist.psp | Pairwise distances between two different line segment patterns
crossing.psp | Crossing Points of Two Line Segment Patterns
crosspaircounts | Close Pairs of Points
crosspairs | Close Pairs of Points
cut.im | Convert Pixel Image from Numeric to Factor
cut.ppp | Classify Points in a Point Pattern

## -- D --

data.ppm | Extract Original Data from a Fitted Point Process Model
dclf.progress | Progress Plot of Test of Spatial Pattern
dclf.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
default.dummy | Generate a Default Pattern of Dummy Points
default.expand | Default Expansion Rule for Simulation of Model
default.rmhcontrol | Set Default Control Parameters for Metropolis-Hastings Algorithm.
delaunay | Delaunay Triangulation of Point Pattern
delaunay.distance | Distance on Delaunay Triangulation
deltametric | Delta Metric
demohyper | Demonstration Example of Hyperframe of Spatial Data
demopat | Artificial Data Point Pattern
density.ppp | Kernel Smoothed Intensity of Point Pattern
density.psp | Kernel Smoothing of Line Segment Pattern
density.splitppp | Kernel Smoothed Intensity of Split Point Pattern
deriv.fv | Calculate Derivative of Function Values
dfbetas.ppm | Parameter influence measure
diagnose.ppm | Diagnostic Plots for Fitted Point Process Model
diameter | Diameter of an Object
diameter.box3 | Geometrical Calculations for Three-Dimensional Box
diameter.boxx | Geometrical Calculations for Multi-Dimensional Box
diameter.linnet | Circumradius and Diameter of a Linear Network
diameter.owin | Diameter of a Window
DiggleGatesStibbard | Diggle-Gates-Stibbard Point Process Model
DiggleGratton | Diggle-Gratton model
dilated.areas | Areas of Morphological Dilations
dilation | Morphological Dilation
dilation.owin | Morphological Dilation
dilation.ppp | Morphological Dilation
dilation.psp | Morphological Dilation
dirichlet | Dirichlet Tessellation of Point Pattern
dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation
disc | Circular Window
discpartarea | Area of Part of Disc
discretise | Safely Convert Point Pattern Window to Binary Mask
distcdf | Distribution Function of Interpoint Distance
distfun | Distance Map as a Function
distfun.lpp | Distance Map on Linear Network
distfun.owin | Distance Map as a Function
distfun.ppp | Distance Map as a Function
distfun.psp | Distance Map as a Function
distmap | Distance Map
distmap.owin | Distance Map of Window
distmap.ppp | Distance Map of Point Pattern
distmap.psp | Distance Map of Line Segment Pattern
dknn | Theoretical Distribution of Nearest Neighbour Distance
dmixpois | Mixed Poisson Distribution
dummify | Convert Data to Numeric Values by Constructing Dummy Variables
dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model
duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern
duplicated.ppx | Determine Duplicated Points in a Spatial Point Pattern

## -- E --

edge.Ripley | Ripley's Isotropic Edge Correction
edge.Trans | Translation Edge Correction
edges | Extract Boundary Edges of a Window.
edges2triangles | List Triangles in a Graph
edges2vees | List Dihedral Triples in a Graph
eem | Exponential Energy Marks
effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model
ellipse | Elliptical Window.
Emark | Diagnostics for random marking
empty.space | Estimate the empty space function F
endpoints.psp | Endpoints of Line Segment Pattern
envelope | Simulation Envelopes of Summary Function
envelope.envelope | Recompute Envelopes
envelope.kppm | Simulation Envelopes of Summary Function
envelope.lpp | Envelope for Point Patterns on Linear Network
envelope.lppm | Envelope for Point Patterns on Linear Network
envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern
envelope.ppm | Simulation Envelopes of Summary Function
envelope.ppp | Simulation Envelopes of Summary Function
eroded.areas | Areas of Morphological Erosions
eroded.volumes | Geometrical Calculations for Three-Dimensional Box
eroded.volumes.box3 | Geometrical Calculations for Three-Dimensional Box
eroded.volumes.boxx | Geometrical Calculations for Multi-Dimensional Box
erosion | Morphological Erosion
erosion.owin | Morphological Erosion
erosion.ppp | Morphological Erosion
erosion.psp | Morphological Erosion
eval.fasp | Evaluate Expression Involving Function Arrays
eval.fv | Evaluate Expression Involving Functions
eval.im | Evaluate Expression Involving Pixel Images
eval.linim | Evaluate Expression Involving Pixel Images on Linear Network
ewcdf | Weighted Empirical Cumulative Distribution Function
exactMPLEstrauss | Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
expand.owin | Apply Expansion Rule
extractAIC.lppm | Methods for Fitted Point Process Models on a Linear Network
extractAIC.ppm | Log Likelihood and AIC for Point Process Model

## -- F --

F3est | Empty Space Function of a Three-Dimensional Point Pattern
fasp.object | Function Arrays for Spatial Patterns
Fest | Estimate the empty space function F
Fiksel | The Fiksel Interaction
Finhom | Inhomogeneous Empty Space Function
finpines | Pine saplings in Finland.
fitin | Extract the Interaction from a Fitted Point Process Model
fitin.ppm | Extract the Interaction from a Fitted Point Process Model
fitted.kppm | Prediction from a Fitted Cluster Point Process Model
fitted.mppm | Fitted Conditional Intensity for Multiple Point Process Model
fitted.ppm | Fitted Conditional Intensity for Point Process Model
fitted.slrm | Fitted Probabilities for Spatial Logistic Regression
flipxy | Exchange X and Y Coordinates
flipxy.im | Exchange X and Y Coordinates
flipxy.layered | Methods for Layered Objects
flipxy.owin | Exchange X and Y Coordinates
flipxy.ppp | Exchange X and Y Coordinates
flipxy.psp | Exchange X and Y Coordinates
flu | Influenza Virus Proteins
formula.fv | Extract or Change the Plot Formula for a Function Value Table
formula.kppm | Methods for Cluster Point Process Models
formula.lppm | Methods for Fitted Point Process Models on a Linear Network
formula.ppm | Model Formulae for Gibbs Point Process Models
formula.slrm | Methods for Spatial Logistic Regression Models
formula<- | Extract or Change the Plot Formula for a Function Value Table
formula<-.fv | Extract or Change the Plot Formula for a Function Value Table
fryplot | Fry Plot of Point Pattern
frypoints | Fry Plot of Point Pattern
funxy | Spatial Function Class
fv | Create a Function Value Table
fv.object | Function Value Table
fvnames | Abbreviations for Groups of Columns in Function Value Table
fvnames<- | Abbreviations for Groups of Columns in Function Value Table

## -- G --

G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern
ganglia | Beta Ganglion Cells in Cat Retina, Old Version
gauss.hermite | Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
Gcom | Model Compensator of Nearest Neighbour Function
Gcross | Multitype Nearest Neighbour Distance Function (i-to-j)
Gdot | Multitype Nearest Neighbour Distance Function (i-to-any)
Gest | Nearest Neighbour Distance Function G
Geyer | Geyer's Saturation Point Process Model
Gfox | Foxall's Distance Functions
Ginhom | Inhomogeneous Nearest Neighbour Function
Gmulti | Marked Nearest Neighbour Distance Function
gordon | People in Gordon Square
gorillas | Gorilla Nesting Sites
gorillas.extra | Gorilla Nesting Sites
Gres | Residual G Function
gridcenters | Rectangular grid of points
gridcentres | Rectangular grid of points
gridweights | Compute Quadrature Weights Based on Grid Counts
grow.simplepanel | Simple Point-and-Click Interface Panels

## -- H --

Halton | Quasirandom Patterns
Hammersley | Quasirandom Patterns
hamster | Aherne's hamster tumour data
Hardcore | The Hard Core Point Process Model
harmonic | Basis for Harmonic Functions
harmonise.im | Make Pixel Images Compatible
harmonize.im | Make Pixel Images Compatible
has.offset | Identify Covariates Involved in each Model Term
has.offset.term | Identify Covariates Involved in each Model Term
heather | Diggle's Heather Data
Hest | Spherical Contact Distribution Function
hexgrid | Hexagonal Grid or Tessellation
hextess | Hexagonal Grid or Tessellation
hist.im | Histogram of Pixel Values in an Image
hsvim | Create Colour-Valued Pixel Image
humberside | Humberside Data on Childhood Leukaemia and Lymphoma
humberside.convex | Humberside Data on Childhood Leukaemia and Lymphoma
Hybrid | Hybrid Interaction Point Process Model
hybrid.family | Hybrid Interaction Family
hyperframe | Hyper Data Frame
hyytiala | Scots pines and other trees at Hyytiala

## -- I --

identify.ppp | Identify Points in a Point Pattern
identify.psp | Identify Segments in a Line Segment Pattern
idw | Inverse-distance weighted smoothing of observations at irregular points
Iest | Estimate the I-function
im | Create a Pixel Image Object
im.apply | Apply Function Pixelwise to List of Images
im.object | Class of Images
image.im | Plot a Pixel Image
image.listof | Plot a List of Things
image.objsurf | Methods for Objective Function Surfaces
imcov | Spatial Covariance of a Pixel Image
incircle | Find Largest Circle Inside Window
infline | Infinite Straight Lines
influence.ppm | Influence Measure for Spatial Point Process Model
inforder.family | Infinite Order Interaction Family
inside.owin | Test Whether Points Are Inside A Window
integral.im | Integral of a Pixel Image
integral.msr | Integral of a Measure
intensity | Intensity of a Dataset or a Model
intensity.lpp | Empirical Intensity of Point Pattern on Linear Network
intensity.ppm | Intensity of Fitted Point Process Model
intensity.ppp | Empirical Intensity of Point Pattern
intensity.quadratcount | Intensity Estimates Using Quadrat Counts
intensity.splitppp | Empirical Intensity of Point Pattern
interp.colourmap | Interpolate smoothly between specified colours
interp.im | Interpolate a Pixel Image
intersect.owin | Intersection, Union or Set Subtraction of Two Windows
intersect.tess | Intersection of Two Tessellations
invoke.symbolmap | Plot Data Using Graphics Symbol Map
iplot | Point and Click Interface for Displaying Spatial Data
iplot.default | Point and Click Interface for Displaying Spatial Data
iplot.layered | Point and Click Interface for Displaying Spatial Data
iplot.ppp | Point and Click Interface for Displaying Spatial Data
ippm | Fit Point Process Model Involving Irregular Trend Parameters
is.convex | Test Whether a Window is Convex
is.empty | Test Whether An Object Is Empty
is.empty.default | Test Whether An Object Is Empty
is.empty.owin | Test Whether An Object Is Empty
is.empty.ppp | Test Whether An Object Is Empty
is.empty.psp | Test Whether An Object Is Empty
is.hybrid | Test Whether Object is a Hybrid
is.hybrid.interact | Test Whether Object is a Hybrid
is.hybrid.ppm | Test Whether Object is a Hybrid
is.im | Test Whether An Object Is A Pixel Image
is.kppm | Test Whether An Object Is A Fitted Point Process Model
is.lpp | Test Whether An Object Is A Point Pattern on a Linear Network
is.lppm | Test Whether An Object Is A Fitted Point Process Model
is.marked | Test Whether Marks Are Present
is.marked.lppm | Test Whether A Point Process Model is Marked
is.marked.ppm | Test Whether A Point Process Model is Marked
is.marked.ppp | Test Whether A Point Pattern is Marked
is.mask | Determine Type of Window
is.multitype | Test whether Object is Multitype
is.multitype.lppm | Test Whether A Point Process Model is Multitype
is.multitype.ppm | Test Whether A Point Process Model is Multitype
is.multitype.ppp | Test Whether A Point Pattern is Multitype
is.owin | Test Whether An Object Is A Window
is.poisson | Recognise Stationary and Poisson Point Process Models
is.poisson.interact | Recognise Stationary and Poisson Point Process Models
is.poisson.kppm | Recognise Stationary and Poisson Point Process Models
is.poisson.lppm | Recognise Stationary and Poisson Point Process Models
is.poisson.ppm | Recognise Stationary and Poisson Point Process Models
is.poisson.rmhmodel | Recognise Stationary and Poisson Point Process Models
is.poisson.slrm | Recognise Stationary and Poisson Point Process Models
is.polygonal | Determine Type of Window
is.ppm | Test Whether An Object Is A Fitted Point Process Model
is.ppp | Test Whether An Object Is A Point Pattern
is.rectangle | Determine Type of Window
is.slrm | Test Whether An Object Is A Fitted Point Process Model
is.stationary | Recognise Stationary and Poisson Point Process Models
is.stationary.kppm | Recognise Stationary and Poisson Point Process Models
is.stationary.lppm | Recognise Stationary and Poisson Point Process Models
is.stationary.ppm | Recognise Stationary and Poisson Point Process Models
is.stationary.rmhmodel | Recognise Stationary and Poisson Point Process Models
is.stationary.slrm | Recognise Stationary and Poisson Point Process Models
is.subset.owin | Determine Whether One Window is Contained In Another
istat | Point and Click Interface for Exploratory Analysis of Point Pattern

## -- J --

japanesepines | Japanese Pines Point Pattern
Jcross | Multitype J Function (i-to-j)
Jdot | Multitype J Function (i-to-any)
Jest | Estimate the J-function
Jfox | Foxall's Distance Functions
Jinhom | Inhomogeneous J-function
Jmulti | Marked J Function

## -- K --

K3est | K-function of a Three-Dimensional Point Pattern
kaplan.meier | Kaplan-Meier Estimator using Histogram Data
Kcom | Model Compensator of K Function
Kcross | Multitype K Function (Cross-type)
Kcross.inhom | Inhomogeneous Cross K Function
Kdot | Multitype K Function (i-to-any)
Kdot.inhom | Inhomogeneous Multitype K Dot Function
Kest | K-function
Kest.fft | K-function using FFT
Kinhom | Inhomogeneous K-function
km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms
Kmeasure | Reduced Second Moment Measure
Kmodel | K Function or Pair Correlation Function of a Point Process Model
Kmodel.kppm | K Function or Pair Correlation Function of Cluster Model or Cox model
Kmodel.ppm | K Function or Pair Correlation Function of Gibbs Point Process model
Kmulti | Marked K-Function
Kmulti.inhom | Inhomogeneous Marked K-Function
kppm | Fit Cluster or Cox Point Process Model
kppm.formula | Fit Cluster or Cox Point Process Model
kppm.ppp | Fit Cluster or Cox Point Process Model
kppm.quad | Fit Cluster or Cox Point Process Model
Kres | Residual K Function
Kscaled | Locally Scaled K-function
kstest | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model
kstest.lpp | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model
kstest.lppm | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model
kstest.mppm | Kolmogorov-Smirnov Test for Multiple Point Process Model
kstest.ppm | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model
kstest.ppp | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model
kstest.slrm | Kolmogorov-Smirnov Test for Point Pattern or Point Process Model

## -- L --

labels.kppm | Methods for Cluster Point Process Models
labels.slrm | Methods for Spatial Logistic Regression Models
LambertW | Lambert's W Function
lansing | Lansing Woods Point Pattern
latest.news | Print News About Latest Version of Package
layered | Create List of Plotting Layers
layerplotargs | Extract or Replace the Plot Arguments of a Layered Object
layerplotargs<- | Extract or Replace the Plot Arguments of a Layered Object
layout.boxes | Generate a Row or Column Arrangement of Rectangles.
Lcross | Multitype L-function (cross-type)
Lcross.inhom | Inhomogeneous Cross Type L Function
Ldot | Multitype L-function (i-to-any)
Ldot.inhom | Inhomogeneous Multitype L Dot Function
lengths.psp | Lengths of Line Segments
LennardJones | The Lennard-Jones Potential
Lest | L-function
letterR | Window in Shape of Letter R
levelset | Level Set of a Pixel Image
leverage | Leverage Measure for Spatial Point Process Model
leverage.ppm | Leverage Measure for Spatial Point Process Model
lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast
lgcp.estpcf | Fit a Log-Gaussian Cox Point Process by Minimum Contrast
lineardisc | Compute Disc of Given Radius in Linear Network
linearK | Linear K Function
linearKcross | Multitype K Function (Cross-type) for Linear Point Pattern
linearKcross.inhom | Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
linearKdot | Multitype K Function (Dot-type) for Linear Point Pattern
linearKdot.inhom | Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
linearKinhom | Inhomogeneous Linear K Function
linearmarkconnect | Mark Connection Function for Multitype Point Pattern on Linear Network
linearmarkequal | Mark Connection Function for Multitype Point Pattern on Linear Network
linearpcf | Linear Pair Correlation Function
linearpcfcross | Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
linearpcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
linearpcfdot | Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
linearpcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
linearpcfinhom | Inhomogeneous Linear Pair Correlation Function
linfun | Function on a Linear Network
Linhom | L-function
linim | Create Pixel Image on Linear Network
linnet | Create a Linear Network
localK | Neighbourhood density function
localKinhom | Inhomogeneous Neighbourhood Density Function
localL | Neighbourhood density function
localLinhom | Inhomogeneous Neighbourhood Density Function
localpcf | Local pair correlation function
localpcfinhom | Local pair correlation function
logLik.lppm | Methods for Fitted Point Process Models on a Linear Network
logLik.mppm | Log Likelihood for Poisson Point Process Model
logLik.ppm | Log Likelihood and AIC for Point Process Model
logLik.slrm | Loglikelihood of Spatial Logistic Regression
lohboot | Bootstrap Confidence Bands for Summary Function
longleaf | Longleaf Pines Point Pattern
lpp | Create Point Pattern on Linear Network
lppm | Fit Point Process Model to Point Pattern on Linear Network
lppm.formula | Fit Point Process Model to Point Pattern on Linear Network
lppm.lpp | Fit Point Process Model to Point Pattern on Linear Network
Lscaled | Locally Scaled K-function
lurking | Lurking variable plot
lut | Lookup Tables

## -- M --

mad.progress | Progress Plot of Test of Spatial Pattern
mad.test | Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
markconnect | Mark Connection Function
markcorr | Mark Correlation Function
markcorrint | Mark Correlation Integral
markmean | Spatial smoothing of observations at irregular points
marks | Marks of a Point Pattern
marks.ppp | Marks of a Point Pattern
marks.ppx | Marks of a Point Pattern
marks.psp | Marks of a Line Segment Pattern
marks<- | Marks of a Point Pattern
marks<-.lpp | Methods for Point Patterns on a Linear Network
marks<-.ppp | Marks of a Point Pattern
marks<-.ppx | Marks of a Point Pattern
marks<-.psp | Marks of a Line Segment Pattern
markstat | Summarise Marks in Every Neighbourhood in a Point Pattern
marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
markvar | Spatial smoothing of observations at irregular points
markvario | Mark Variogram
matchingdist | Distance for a Point Pattern Matching
matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast
matclust.estpcf | Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
max.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
maxnndist | Compute Minimum or Maximum Nearest-Neighbour Distance
mctest.progress | Progress Plot of Test of Spatial Pattern
mean.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
median.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
methods.box3 | Methods for Three-Dimensional Box
methods.boxx | Methods for Multi-Dimensional Box
methods.fii | Methods for Fitted Interactions
methods.funxy | Methods for Spatial Functions
methods.kppm | Methods for Cluster Point Process Models
methods.layered | Methods for Layered Objects
methods.linfun | Methods for Functions on Linear Network
methods.linnet | Methods for Linear Networks
methods.lpp | Methods for Point Patterns on a Linear Network
methods.lppm | Methods for Fitted Point Process Models on a Linear Network
methods.objsurf | Methods for Objective Function Surfaces
methods.pp3 | Methods for three-dimensional point patterns
methods.ppm | Class of Fitted Point Process Models
methods.ppx | Methods for Multidimensional Space-Time Point Patterns
methods.rho2hat | Methods for Intensity Functions of Two Spatial Covariates
methods.rhohat | Methods for Intensity Functions of Spatial Covariate
methods.slrm | Methods for Spatial Logistic Regression Models
methods.units | Methods for Units
midpoints.psp | Midpoints of Line Segment Pattern
min.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
mincontrast | Method of Minimum Contrast
minnndist | Compute Minimum or Maximum Nearest-Neighbour Distance
miplot | Morishita Index Plot
model.covariates | Identify Covariates Involved in each Model Term
model.depends | Identify Covariates Involved in each Model Term
model.frame.kppm | Extract the Variables in a Point Process Model
model.frame.lppm | Extract the Variables in a Point Process Model
model.frame.ppm | Extract the Variables in a Point Process Model
model.images | Compute Images of Constructed Covariates
model.images.kppm | Compute Images of Constructed Covariates
model.images.lppm | Compute Images of Constructed Covariates
model.images.ppm | Compute Images of Constructed Covariates
model.images.slrm | Compute Images of Constructed Covariates
model.is.additive | Identify Covariates Involved in each Model Term
model.matrix.kppm | Extract Design Matrix from Point Process Model
model.matrix.lppm | Extract Design Matrix from Point Process Model
model.matrix.ppm | Extract Design Matrix from Point Process Model
model.matrix.slrm | Extract Design Matrix from Spatial Logistic Regression Model
mppm | Fit Point Process Model to Several Point Patterns
msr | Signed or Vector-Valued Measure
mucosa | Cells in Gastric Mucosa
mucosa.subwin | Cells in Gastric Mucosa
MultiHard | The Multitype Hard Core Point Process Model
multiplicity | Count Multiplicity of Duplicate Points
multiplicity.data.frame | Count Multiplicity of Duplicate Points
multiplicity.default | Count Multiplicity of Duplicate Points
multiplicity.ppp | Count Multiplicity of Duplicate Points
multiplicity.ppx | Count Multiplicity of Duplicate Points
MultiStrauss | The Multitype Strauss Point Process Model
MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model
murchison | Murchison gold deposits

## -- N --

nbfires | Point Patterns of New Brunswick Forest Fires
nbfires.extra | Point Patterns of New Brunswick Forest Fires
nbw.rect | Point Patterns of New Brunswick Forest Fires
nearest.neighbour | Nearest Neighbour Distance Function G
nearest.raster.point | Find Pixel Nearest to a Given Point
nearestsegment | Find Line Segment Nearest to Each Point
nnclean | Nearest Neighbour Clutter Removal
nnclean.pp3 | Nearest Neighbour Clutter Removal
nnclean.ppp | Nearest Neighbour Clutter Removal
nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern
nncross | Nearest Neighbours Between Two Patterns
nncross.default | Nearest Neighbours Between Two Patterns
nncross.lpp | Nearest Neighbours on a Linear Network
nncross.pp3 | Nearest Neighbours Between Two Patterns in 3D
nncross.ppp | Nearest Neighbours Between Two Patterns
nndensity | Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
nndensity.ppp | Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
nndist | Nearest neighbour distances
nndist.default | Nearest neighbour distances
nndist.lpp | Nearest neighbour distances on a linear network
nndist.pp3 | Nearest neighbour distances in three dimensions
nndist.ppp | Nearest neighbour distances
nndist.ppx | Nearest Neighbour Distances in Any Dimensions
nndist.psp | Nearest neighbour distances between line segments
nnfun | Nearest Neighbour Index Map as a Function
nnfun.lpp | Nearest Neighbour Map on Linear Network
nnfun.ppp | Nearest Neighbour Index Map as a Function
nnfun.psp | Nearest Neighbour Index Map as a Function
nnmap | K-th Nearest Point Map
nnmark | Mark of Nearest Neighbour
nnmean | Nearest-Neighbour Correlation Indices of Marked Point Pattern
nnvario | Nearest-Neighbour Correlation Indices of Marked Point Pattern
nnwhich | Nearest neighbour
nnwhich.default | Nearest neighbour
nnwhich.lpp | Identify Nearest Neighbours on a Linear Network
nnwhich.pp3 | Nearest neighbours in three dimensions
nnwhich.ppp | Nearest neighbour
nnwhich.ppx | Nearest Neighbours in Any Dimensions
nobs.lppm | Methods for Fitted Point Process Models on a Linear Network
nobs.ppm | Log Likelihood and AIC for Point Process Model
npfun | Dummy Function Returns Number of Points
npoints | Number of Points in a Point Pattern
npoints.pp3 | Number of Points in a Point Pattern
npoints.ppp | Number of Points in a Point Pattern
npoints.ppx | Number of Points in a Point Pattern
nsegments | Number of Line Segments in a Line Segment Pattern
nsegments.psp | Number of Line Segments in a Line Segment Pattern
nztrees | New Zealand Trees Point Pattern

## -- O --

objsurf | Objective Function Surface
objsurf.kppm | Objective Function Surface
objsurf.minconfit | Objective Function Surface
opening | Morphological Opening
opening.owin | Morphological Opening
opening.ppp | Morphological Opening
opening.psp | Morphological Opening
Ord | Generic Ord Interaction model
ord.family | Ord Interaction Process Family
OrdThresh | Ord's Interaction model
osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns
overlap.owin | Compute Area of Overlap
owin | Create a Window
owin.object | Class owin

## -- P --

pairdist | Pairwise distances
pairdist.default | Pairwise distances
pairdist.lpp | Pairwise shortest-path distances between points on a linear network
pairdist.pp3 | Pairwise distances in Three Dimensions
pairdist.ppp | Pairwise distances
pairdist.ppx | Pairwise Distances in Any Dimensions
pairdist.psp | Pairwise distances between line segments
PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model
pairs.im | Scatterplot Matrix for Pixel Images
pairsat.family | Saturated Pairwise Interaction Point Process Family
Pairwise | Generic Pairwise Interaction model
pairwise.family | Pairwise Interaction Process Family
paletteindex | Convert and Compare Colours in Different Formats
paracou | Kimboto trees at Paracou, French Guiana
parres | Partial Residuals for Point Process Model
pcf | Pair Correlation Function
pcf.fasp | Pair Correlation Function obtained from array of K functions
pcf.fv | Pair Correlation Function obtained from K Function
pcf.ppp | Pair Correlation Function of Point Pattern
pcf3est | Pair Correlation Function of a Three-Dimensional Point Pattern
pcfcross | Multitype pair correlation function (cross-type)
pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
pcfdot | Multitype pair correlation function (i-to-any)
pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
pcfinhom | Inhomogeneous Pair Correlation Function
pcfmodel | K Function or Pair Correlation Function of a Point Process Model
pcfmodel.kppm | K Function or Pair Correlation Function of Cluster Model or Cox model
pcfmodel.ppm | K Function or Pair Correlation Function of Gibbs Point Process model
pcfmulti | Marked pair correlation function
perimeter | Perimeter Length of Window
periodify | Make Periodic Copies of a Spatial Pattern
periodify.owin | Make Periodic Copies of a Spatial Pattern
periodify.ppp | Make Periodic Copies of a Spatial Pattern
periodify.psp | Make Periodic Copies of a Spatial Pattern
persp.funxy | Methods for Spatial Functions
persp.im | Perspective Plot of Pixel Image
persp.objsurf | Methods for Objective Function Surfaces
pixelcentres | Extract Pixel Centres as Point Pattern
pixellate | Convert Spatial Object to Pixel Image
pixellate.owin | Convert Window to Pixel Image
pixellate.ppp | Convert Point Pattern to Pixel Image
pixellate.psp | Convert Line Segment Pattern to Pixel Image
pixelquad | Quadrature Scheme Based on Pixel Grid
pknn | Theoretical Distribution of Nearest Neighbour Distance
plot.bermantest | Plot Result of Berman Test
plot.colourmap | Plot a Colour Map
plot.diagppm | Diagnostic Plots for Fitted Point Process Model
plot.envelope | Plot a Simulation Envelope
plot.fasp | Plot a Function Array
plot.fii | Methods for Fitted Interactions
plot.funxy | Methods for Spatial Functions
plot.fv | Plot Function Values
plot.hyperframe | Plot Entries in a Hyperframe
plot.im | Plot a Pixel Image
plot.infline | Infinite Straight Lines
plot.influence.ppm | Plot Influence Measure
plot.kppm | Plot a fitted cluster point process
plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test
plot.layered | Layered Plot
plot.leverage.ppm | Plot Leverage Function
plot.linfun | Methods for Functions on Linear Network
plot.linim | Plot Pixel Image on Linear Network
plot.linnet | Plot a linear network
plot.listof | Plot a List of Things
plot.lpp | Plot Point Pattern on Linear Network
plot.lppm | Plot a Fitted Point Process Model on a Linear Network
plot.mppm | plot a Fitted Multiple Point Process Model
plot.msr | Plot a Signed or Vector-Valued Measure
plot.objsurf | Methods for Objective Function Surfaces
plot.owin | Plot a Spatial Window
plot.plotppm | Plot a plotppm Object Created by plot.ppm
plot.pp3 | Plot a three-dimensional point pattern
plot.ppm | plot a Fitted Point Process Model
plot.ppp | plot a Spatial Point Pattern
plot.ppx | Methods for Multidimensional Space-Time Point Patterns
plot.psp | plot a Spatial Line Segment Pattern
plot.quad | Plot a Spatial Quadrature Scheme
plot.quadratcount | Plot Quadrat Counts
plot.quadrattest | Display the result of a quadrat counting test.
plot.rho2hat | Methods for Intensity Functions of Two Spatial Covariates
plot.rhohat | Methods for Intensity Functions of Spatial Covariate
plot.scan.test | Plot Result of Scan Test
plot.slrm | Plot a Fitted Spatial Logistic Regression
plot.splitppp | Plot a List of Point Patterns
plot.symbolmap | Plot a Graphics Symbol Map
plot.tess | Plot a tessellation
plot.texturemap | Plot a Texture Map
pmixpois | Mixed Poisson Distribution
pointsOnLines | Place Points Evenly Along Specified Lines
Poisson | Poisson Point Process Model
ponderosa | Ponderosa Pine Tree Point Pattern
ponderosa.extra | Ponderosa Pine Tree Point Pattern
pool | Pool Data
pool.envelope | Pool Data from Several Envelopes
pool.fasp | Pool Data from Several Function Arrays
pool.quadrattest | Pool Several Quadrat Tests
pool.rat | Pool Data from Several Ratio Objects
pp3 | Three Dimensional Point Pattern
ppm | Fit Point Process Model to Data
ppm.formula | Fit Point Process Model to Data
ppm.object | Class of Fitted Point Process Models
ppm.ppp | Fit Point Process Model to Point Pattern Data
ppm.quad | Fit Point Process Model to Point Pattern Data
ppp | Create a Point Pattern
ppp.object | Class of Point Patterns
pppdist | Distance Between Two Point Patterns
pppmatching | Create a Point Matching
pppmatching.object | Class of Point Matchings
ppx | Multidimensional Space-Time Point Pattern
predict.kppm | Prediction from a Fitted Cluster Point Process Model
predict.lppm | Predict Point Process Model on Linear Network
predict.mppm | Prediction for Fitted Multiple Point Process Model
predict.ppm | Prediction from a Fitted Point Process Model
predict.rhohat | Methods for Intensity Functions of Spatial Covariate
predict.slrm | Predicted or Fitted Values from Spatial Logistic Regression
print.box3 | Methods for Three-Dimensional Box
print.boxx | Methods for Multi-Dimensional Box
print.fii | Methods for Fitted Interactions
print.im | Print Brief Details of an Image
print.infline | Infinite Straight Lines
print.kppm | Methods for Cluster Point Process Models
print.linfun | Methods for Functions on Linear Network
print.linnet | Methods for Linear Networks
print.lpp | Methods for Point Patterns on a Linear Network
print.lppm | Methods for Fitted Point Process Models on a Linear Network
print.objsurf | Methods for Objective Function Surfaces
print.owin | Print Brief Details of a Spatial Window
print.pp3 | Methods for three-dimensional point patterns
print.ppm | Print a Fitted Point Process Model
print.ppp | Print Brief Details of a Point Pattern Dataset
print.ppx | Methods for Multidimensional Space-Time Point Patterns
print.psp | Print Brief Details of a Line Segment Pattern Dataset
print.quad | Print a Quadrature Scheme
print.rho2hat | Methods for Intensity Functions of Two Spatial Covariates
print.rhohat | Methods for Intensity Functions of Spatial Covariate
print.slrm | Methods for Spatial Logistic Regression Models
print.summary.fii | Methods for Fitted Interactions
print.summary.im | Summarizing a Pixel Image
print.summary.lpp | Methods for Point Patterns on a Linear Network
print.summary.pp3 | Methods for three-dimensional point patterns
print.summary.ppm | Summarizing a Fitted Point Process Model
print.summary.quad | Summarizing a Quadrature Scheme
print.units | Methods for Units
profilepl | Profile Maximum Pseudolikelihood
progressreport | Print Progress Reports
project.ppm | Force Point Process Model to be Valid
project2segment | Move Point To Nearest Line
psp | Create a Line Segment Pattern
psp.object | Class of Line Segment Patterns
psst | Pseudoscore Diagnostic For Fitted Model against General Alternative
psstA | Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
psstG | Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
pyramidal | Pyramidal Neurons in Cingulate Cortex

## -- Q --

qknn | Theoretical Distribution of Nearest Neighbour Distance
qmixpois | Mixed Poisson Distribution
qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model
quad.object | Class of Quadrature Schemes
quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model
quadform | Compute Quadratic Forms
quadrat.test | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.mppm | Chi-Squared Test for Multiple Point Process Model Based on Quadrat Counts
quadrat.test.ppm | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.ppp | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.quadratcount | Dispersion Test for Spatial Point Pattern Based on Quadrat Counts
quadrat.test.splitppp | Dispersion Test of CSR for Split Point Pattern Based on Quadrat Counts
quadratcount | Quadrat counting for a point pattern
quadratcount.ppp | Quadrat counting for a point pattern
quadratcount.splitppp | Quadrat counting for a point pattern
quadratresample | Resample a Point Pattern by Resampling Quadrats
quadrats | Divide Region into Quadrats
quadscheme | Generate a Quadrature Scheme from a Point Pattern
quadscheme.logi | Generate a Logistic Regression Quadrature Scheme from a Point Pattern
quantile.ewcdf | Quantiles of Weighted Empirical Cumulative Distribution Function
quantile.im | Sample Quantiles of Pixel Image
quasirandom | Quasirandom Patterns

## -- R --

range.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
raster.x | Cartesian Coordinates for a Pixel Raster
raster.xy | Cartesian Coordinates for a Pixel Raster
raster.y | Cartesian Coordinates for a Pixel Raster
rat | Ratio object
rbind.hyperframe | Combine Hyperframes by Rows or by Columns
rCauchy | Simulate Neyman-Scott Point Process with Cauchy cluster kernel
rcell | Simulate Baddeley-Silverman Cell Process
rcellnumber | Generate Random Numbers of Points for Cell Process
rDGS | Perfect Simulation of the Diggle-Gates-Stibbard Process
rDiggleGratton | Perfect Simulation of the Diggle-Gratton Process
reach | Interaction Distance of a Point Process
reach.fii | Interaction Distance of a Point Process
reach.interact | Interaction Distance of a Point Process
reach.ppm | Interaction Distance of a Point Process
reach.rmhmodel | Interaction Distance of a Point Process
redraw.simplepanel | Run Point-and-Click Interface
reduced.sample | Reduced Sample Estimator using Histogram Data
redwood | California Redwoods Point Pattern (Ripley's Subset)
redwoodfull | California Redwoods Point Pattern (Entire Dataset)
redwoodfull.extra | California Redwoods Point Pattern (Entire Dataset)
reflect | Reflect In Origin
reflect.default | Reflect In Origin
reflect.im | Reflect In Origin
reflect.layered | Methods for Layered Objects
reflect.tess | Apply Geometrical Transformation To Tessellation
reload.or.compute | Compute Unless Previously Saved
relrisk | Nonparametric Estimate of Spatially-Varying Relative Risk
rescale | Convert dataset to another unit of length
rescale.im | Convert Pixel Image to Another Unit of Length
rescale.layered | Methods for Layered Objects
rescale.linnet | Apply Geometrical Transformations to a Linear Network
rescale.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network
rescale.owin | Convert Window to Another Unit of Length
rescale.ppp | Convert Point Pattern to Another Unit of Length
rescale.psp | Convert Line Segment Pattern to Another Unit of Length
rescale.units | Methods for Units
rescue.rectangle | Convert Window Back To Rectangle
reset.spatstat.options | Internal Options in Spatstat Package
residuals.mppm | Residuals for Point Process Model Fitted to Multiple Point Patterns
residuals.ppm | Residuals for Fitted Point Process Model
residualspaper | Data and Code From JRSS Discussion Paper on Residuals
rGaussPoisson | Simulate Gauss-Poisson Process
rgb2hex | Convert and Compare Colours in Different Formats
rgbim | Create Colour-Valued Pixel Image
rHardcore | Perfect Simulation of the Hardcore Process
rho2hat | Smoothed Relative Density of Pairs of Covariate Values
rhohat | Smoothing Estimate of Covariate Transformation
rhohat.lpp | Smoothing Estimate of Covariate Transformation
rhohat.lppm | Smoothing Estimate of Covariate Transformation
rhohat.ppm | Smoothing Estimate of Covariate Transformation
rhohat.ppp | Smoothing Estimate of Covariate Transformation
rhohat.quad | Smoothing Estimate of Covariate Transformation
ripras | Estimate window from points alone
rjitter | Random Perturbation of a Point Pattern
rknn | Theoretical Distribution of Nearest Neighbour Distance
rlabel | Random Re-Labelling of Point Pattern
rLGCP | Simulate Log-Gaussian Cox Process
rlinegrid | Generate grid of parallel lines with random displacement
rMatClust | Simulate Matern Cluster Process
rMaternI | Simulate Matern Model I
rMaternII | Simulate Matern Model II
rmh | Simulate point patterns using the Metropolis-Hastings algorithm.
rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm.
rmh.ppm | Simulate from a Fitted Point Process Model
rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm.
rmhcontrol.default | Set Control Parameters for Metropolis-Hastings Algorithm.
rmhexpand | Specify Simulation Window or Expansion Rule
rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation.
rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation.
rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation.
rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation.
rmhstart | Determine Initial State for Metropolis-Hastings Simulation.
rmhstart.default | Determine Initial State for Metropolis-Hastings Simulation.
rmixpois | Mixed Poisson Distribution
rMosaicField | Mosaic Random Field
rMosaicSet | Mosaic Random Set
rmpoint | Generate N Random Multitype Points
rmpoispp | Generate Multitype Poisson Point Pattern
rNeymanScott | Simulate Neyman-Scott Process
rotate | Rotate
rotate.im | Rotate a Pixel Image
rotate.layered | Methods for Layered Objects
rotate.linnet | Apply Geometrical Transformations to a Linear Network
rotate.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network
rotate.owin | Rotate a Window
rotate.ppp | Rotate a Point Pattern
rotate.psp | Rotate a Line Segment Pattern
rotate.tess | Apply Geometrical Transformation To Tessellation
round.pp3 | Apply Numerical Rounding to Spatial Coordinates
round.ppp | Apply Numerical Rounding to Spatial Coordinates
round.ppx | Apply Numerical Rounding to Spatial Coordinates
rounding | Detect Numerical Rounding
rounding.default | Detect Numerical Rounding
rounding.pp3 | Detect Numerical Rounding
rounding.ppp | Detect Numerical Rounding
rounding.ppx | Detect Numerical Rounding
rpoint | Generate N Random Points
rpoisline | Generate Poisson Random Line Process
rpoislinetess | Poisson Line Tessellation
rpoislpp | Poisson Point Process on a Linear Network
rpoispp | Generate Poisson Point Pattern
rpoispp3 | Generate Poisson Point Pattern in Three Dimensions
rpoisppOnLines | Generate Poisson Point Pattern on Line Segments
rpoisppx | Generate Poisson Point Pattern in Any Dimensions
rPoissonCluster | Simulate Poisson Cluster Process
rQuasi | Generate Quasirandom Point Pattern in Given Window
rshift | Random Shift
rshift.ppp | Randomly Shift a Point Pattern
rshift.psp | Randomly Shift a Line Segment Pattern
rshift.splitppp | Randomly Shift a List of Point Patterns
rSSI | Simulate Simple Sequential Inhibition
rstrat | Simulate Stratified Random Point Pattern
rStrauss | Perfect Simulation of the Strauss Process
rStraussHard | Perfect Simulation of the Strauss-Hardcore Process
rsyst | Simulate systematic random point pattern
rthin | Random Thinning
rThomas | Simulate Thomas Process
run.simplepanel | Run Point-and-Click Interface
runifdisc | Generate N Uniform Random Points in a Disc
runiflpp | Uniform Random Points on a Linear Network
runifpoint | Generate N Uniform Random Points
runifpoint3 | Generate N Uniform Random Points in Three Dimensions
runifpointOnLines | Generate N Uniform Random Points On Line Segments
runifpointx | Generate N Uniform Random Points in Any Dimensions
rVarGamma | Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

## -- S --

samecolour | Convert and Compare Colours in Different Formats
SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model
Saturated | Saturated Pairwise Interaction model
scalardilate | Apply Scalar Dilation
scalardilate.default | Apply Scalar Dilation
scalardilate.im | Apply Scalar Dilation
scalardilate.layered | Methods for Layered Objects
scalardilate.linnet | Apply Geometrical Transformations to a Linear Network
scalardilate.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network
scalardilate.owin | Apply Scalar Dilation
scalardilate.ppp | Apply Scalar Dilation
scalardilate.psp | Apply Scalar Dilation
scalardilate.tess | Apply Geometrical Transformation To Tessellation
scaletointerval | Rescale Data to Lie Between Specified Limits
scaletointerval.default | Rescale Data to Lie Between Specified Limits
scaletointerval.im | Rescale Data to Lie Between Specified Limits
scan.test | Spatial Scan Test
scanLRTS | Likelihood Ratio Test Statistic for Scan Test
scanpp | Read Point Pattern From Data File
selfcrossing.psp | Crossing Points in a Line Segment Pattern
sessionLibs | Print Names and Version Numbers of Libraries Loaded
setcov | Set Covariance of a Window
setmarks | Marks of a Point Pattern
setminus.owin | Intersection, Union or Set Subtraction of Two Windows
shapley | Galaxies in the Shapley Supercluster
shapley.extra | Galaxies in the Shapley Supercluster
sharpen | Data Sharpening of Point Pattern
sharpen.ppp | Data Sharpening of Point Pattern
shift | Apply Vector Translation
shift.im | Apply Vector Translation To Pixel Image
shift.layered | Methods for Layered Objects
shift.linnet | Apply Geometrical Transformations to a Linear Network
shift.lpp | Apply Geometrical Transformations to Point Pattern on a Linear Network
shift.owin | Apply Vector Translation To Window
shift.ppp | Apply Vector Translation To Point Pattern
shift.psp | Apply Vector Translation To Line Segment Pattern
shift.tess | Apply Geometrical Transformation To Tessellation
shortside | Geometrical Calculations for Three-Dimensional Box
shortside.box3 | Geometrical Calculations for Three-Dimensional Box
shortside.boxx | Geometrical Calculations for Multi-Dimensional Box
shortside.owin | Side Lengths of Enclosing Rectangle of a Window
sidelengths | Geometrical Calculations for Three-Dimensional Box
sidelengths.box3 | Geometrical Calculations for Three-Dimensional Box
sidelengths.boxx | Geometrical Calculations for Multi-Dimensional Box
sidelengths.owin | Side Lengths of Enclosing Rectangle of a Window
simba | Simulated data from a two-group experiment with replication within each group.
simdat | Simulated Point Pattern
simplenet | Simple Example of Linear Network
simplepanel | Simple Point-and-Click Interface Panels
simplify.owin | Approximate a Polygon by a Simpler Polygon
simulate.kppm | Simulate a Fitted Cluster Point Process Model
simulate.ppm | Simulate a Fitted Gibbs Point Process Model
simulate.slrm | Simulate a Fitted Spatial Logistic Regression Model
slrm | Spatial Logistic Regression
Smooth | Spatial smoothing of data
Smooth.fv | Apply Smoothing to Function Values
Smooth.im | Apply Gaussian Blur to a Pixel Image
Smooth.msr | Smooth a Signed or Vector-Valued Measure
Smooth.ppp | Spatial smoothing of observations at irregular points
Smoothfun | Smooth Interpolation of Marks as a Spatial Function
Smoothfun.ppp | Smooth Interpolation of Marks as a Spatial Function
Softcore | The Soft Core Point Process Model
solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True
spatstat | The Spatstat Package
spatstat.options | Internal Options in Spatstat Package
split.hyperframe | Divide Hyperframe Into Subsets and Reassemble
split.im | Divide Image Into Sub-images
split.ppp | Divide Point Pattern into Sub-patterns
split.ppx | Divide Multidimensional Point Pattern into Sub-patterns
split<-.hyperframe | Divide Hyperframe Into Subsets and Reassemble
split<-.ppp | Divide Point Pattern into Sub-patterns
spokes | Spokes pattern of dummy points
spruces | Spruces Point Pattern
square | Square Window
stieltjes | Compute Integral of Function Against Cumulative Distribution
stratrand | Stratified random point pattern
Strauss | The Strauss Point Process Model
StraussHard | The Strauss / Hard Core Point Process Model
subfits | Extract List of Individual Point Process Models
subfits.new | Extract List of Individual Point Process Models
subfits.old | Extract List of Individual Point Process Models
suffstat | Sufficient Statistic of Point Process Model
sum.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image
summary.fii | Methods for Fitted Interactions
summary.im | Summarizing a Pixel Image
summary.linnet | Methods for Linear Networks
summary.listof | Summary of a List of Things
summary.lpp | Methods for Point Patterns on a Linear Network
summary.owin | Summary of a Spatial Window
summary.pp3 | Methods for three-dimensional point patterns
summary.ppm | Summarizing a Fitted Point Process Model
summary.ppp | Summary of a Point Pattern Dataset
summary.psp | Summary of a Line Segment Pattern Dataset
summary.quad | Summarizing a Quadrature Scheme
summary.splitppp | Summary of a Split Point Pattern
summary.units | Methods for Units
sumouter | Compute Quadratic Forms
superimpose | Superimpose Several Geometric Patterns
superimpose.default | Superimpose Several Geometric Patterns
superimpose.ppp | Superimpose Several Geometric Patterns
superimpose.psp | Superimpose Several Geometric Patterns
swedishpines | Swedish Pines Point Pattern
symbolmap | Graphics Symbol Map

## -- T --

terms.kppm | Methods for Cluster Point Process Models
terms.lppm | Methods for Fitted Point Process Models on a Linear Network
terms.ppm | Model Formulae for Gibbs Point Process Models
terms.slrm | Methods for Spatial Logistic Regression Models
tess | Create a Tessellation
texturemap | Texture Map
textureplot | Plot Image Using Texture Fill
thomas.estK | Fit the Thomas Point Process by Minimum Contrast
thomas.estpcf | Fit the Thomas Point Process by Minimum Contrast
tile.areas | Compute Areas of Tiles in a Tessellation
tilenames | Names of Tiles in a Tessellation
tilenames<- | Names of Tiles in a Tessellation
tiles | Extract List of Tiles in a Tessellation
timed | Record the Computation Time
to.grey | Convert and Compare Colours in Different Formats
transect.im | Pixel Values Along a Transect
trim.rectangle | Cut margins from rectangle
triplet.family | Triplet Interaction Family
Triplets | The Triplet Point Process Model
Tstat | Third order summary statistic
tweak.colourmap | Change Colour Values in a Colour Map

## -- U --

union.owin | Intersection, Union or Set Subtraction of Two Windows
union.quad | Union of Data and Dummy Points
unique.ppp | Extract Unique Points from a Spatial Point Pattern
unique.ppx | Extract Unique Points from a Spatial Point Pattern
unit.square | Square Window
unitname | Name for Unit of Length
unitname.box3 | Methods for Three-Dimensional Box
unitname.boxx | Methods for Multi-Dimensional Box
unitname.im | Name for Unit of Length
unitname.kppm | Name for Unit of Length
unitname.linnet | Methods for Linear Networks
unitname.lpp | Methods for Point Patterns on a Linear Network
unitname.minconfit | Name for Unit of Length
unitname.owin | Name for Unit of Length
unitname.pp3 | Methods for three-dimensional point patterns
unitname.ppm | Name for Unit of Length
unitname.ppp | Name for Unit of Length
unitname.ppx | Methods for Multidimensional Space-Time Point Patterns
unitname.psp | Name for Unit of Length
unitname.quad | Name for Unit of Length
unitname.slrm | Name for Unit of Length
unitname<- | Name for Unit of Length
unitname<-.box3 | Methods for Three-Dimensional Box
unitname<-.boxx | Methods for Multi-Dimensional Box
unitname<-.im | Name for Unit of Length
unitname<-.kppm | Name for Unit of Length
unitname<-.linnet | Methods for Linear Networks
unitname<-.lpp | Methods for Point Patterns on a Linear Network
unitname<-.minconfit | Name for Unit of Length
unitname<-.owin | Name for Unit of Length
unitname<-.pp3 | Methods for three-dimensional point patterns
unitname<-.ppm | Name for Unit of Length
unitname<-.ppp | Name for Unit of Length
unitname<-.ppx | Methods for Multidimensional Space-Time Point Patterns
unitname<-.psp | Name for Unit of Length
unitname<-.quad | Name for Unit of Length
unitname<-.slrm | Name for Unit of Length
unmark | Remove Marks
unmark.lpp | Methods for Point Patterns on a Linear Network
unmark.ppp | Remove Marks
unmark.ppx | Remove Marks
unmark.psp | Remove Marks
unmark.splitppp | Remove Marks
unnormdensity | Weighted kernel smoother
update.kppm | Update a Fitted Cluster Point Process Model
update.lppm | Methods for Fitted Point Process Models on a Linear Network
update.ppm | Update a Fitted Point Process Model
update.rmhcontrol | Update Control Parameters of Metropolis-Hastings Algorithm
update.slrm | Methods for Spatial Logistic Regression Models
update.symbolmap | Update a Graphics Symbol Map.
urkiola | Urkiola Woods Point Pattern

## -- V --

valid.ppm | Check Whether Point Process Model is Valid
varblock | Estimate Variance of Summary Statistic by Subdivision
vargamma.estK | Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
vargamma.estpcf | Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
vcov.kppm | Variance-Covariance Matrix for a Fitted Cluster Point Process Model
vcov.lppm | Methods for Fitted Point Process Models on a Linear Network
vcov.mppm | Calculate Variance-Covariance Matrix for Fitted Multiple Point Process Model
vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model
vcov.slrm | Variance-Covariance Matrix for a Fitted Spatial Logistic Regression
vdCorput | Quasirandom Patterns
vertices | Vertices of a Window
Vmark | Diagnostics for random marking
volume | Volume of an Object
volume.box3 | Geometrical Calculations for Three-Dimensional Box
volume.boxx | Geometrical Calculations for Multi-Dimensional Box
volume.owin | Area of a Window

## -- W --

waka | Trees in Waka national park
waterstriders | Waterstriders data. Three independent replications of a point pattern formed by insects.
whist | Weighted Histogram
will.expand | Test Expansion Rule
with.fv | Evaluate an Expression in a Function Table
with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe

## -- Z --

zapsmall.im | Rounding of Pixel Values

## -- misc --

$.hyperframe | Extract or Replace Subset of Hyperframe
$<-.hyperframe | Extract or Replace Subset of Hyperframe
%mark% | Marks of a Point Pattern
[.fasp | Extract Subset of Function Array
[.fv | Extract Subset of Function Values
[.hyperframe | Extract or Replace Subset of Hyperframe
[.im | Extract Subset of Image
[.influence.ppm | Extract Subset of Influence Object
[.layered | Extract Subset of a Layered Object
[.leverage.ppm | Extract Subset of Leverage Object
[.linnet | Extract Subset of Linear Network
[.lpp | Extract Subset of Point Pattern on Linear Network
[.msr | Extract Subset of Signed or Vector Measure
[.owin | Extract Subset of Window
[.ppp | Extract or Replace Subset of Point Pattern
[.ppx | Extract Subset of Multidimensional Point Pattern
[.psp | Extract Subset of Line Segment Pattern
[.quad | Subset of Quadrature Scheme
[.splitppp | Extract or Replace Sub-Patterns
[.tess | Extract or Replace Subset of Tessellation
[<-.hyperframe | Extract or Replace Subset of Hyperframe
[<-.im | Reset Values in Subset of Image
[<-.listof | Extract or Replace Subset of a List of Things
[<-.ppp | Extract or Replace Subset of Point Pattern
[<-.splitppp | Extract or Replace Sub-Patterns
[<-.tess | Extract or Replace Subset of Tessellation